Statistical Modeling Researcher for AI Evaluation

Statistical Modeling Researchers apply advanced statistical theory, methodology, and applied modeling expertise to evaluate AI-generated outputs, create expert-level training data, and provide precise feedback that improves how AI systems represent statistical research and methods. This is an ongoing, project-based, hourly contract role that can be done remotely alongside other commitments. No prior AI experience is required.

• Create expert-level training data grounded in statistical research and methodology.
• Evaluate AI-generated responses for accuracy, methodological soundness, and relevance.
• Provide detailed, actionable feedback and corrections to improve AI understanding of statistical concepts.
• Apply domain knowledge in statistical theory, computation, machine learning, and applied statistics to annotation and review tasks.
• Work independently on asynchronous assignments while following project guidelines and deadlines.

• PhD in Statistics, Biostatistics, Applied Statistics, or a related field from a top 100 US university.
• Research background in one or more of the following areas: statistical theory or methodology, statistical computation or machine learning, applied statistics or statistics applications.
• Familiarity with arXiv, especially the Statistics repository (stat).
• Strong written communication skills and attention to detail.
• Ability to work independently and asynchronously with research teams.

• Location: Remote.
• Employment type: Part time, hourly contract.
• Schedule: Flexible, asynchronous; no minimum hour requirement.
• Typical commitment: Most contributors work approximately 5, 20 hours per week when participating in an active project.
• Engagement model: Ongoing, project-based assignments. Placement on individual projects depends on current project needs, and contributors may be considered for future projects as they become available.

Up to $75/hr (depending on the project)

F-1 students who are eligible for CPT or OPT may be eligible to participate. Candidates must coordinate with their Designated School Official to confirm eligibility. If a school requires enrollment in a CPT course to authorize work, this program may not meet that requirement. STEM OPT is not supported.

• Create an account and complete your profile.
• Complete identity verification as required for participation.
• Indicate interest in relevant projects and complete any project-specific onboarding.
• Begin contributing to tasks for active projects and receive payment according to the contract terms.